Skip to main content
Log in

A Low Cost Ultrasonic Based Positioning System for the Indoor Navigation of Mobile Robots

  • Published:
Journal of Intelligent & Robotic Systems Aims and scope Submit manuscript

Abstract

This paper presents an ultrasonic based indoor positioning (ICKON) system for indoor environments. The ICKON uses only ultrasonic signals and calculates the position of the mobile platform at centimeter-level accuracy. In this system, ultrasonic transmitters are located at known fixed positions and periodically send signals. The receiver is on the mobile unit and uses the time difference of arrival (TDOA) to calculate the mobile unit’s position. There is no synchronization signal between the transmitter and the mobile unit. The number of the mobile robots that can be used is restricted due to the physical limitations of the environment. Large indoor areas are covered by integrating an ultrasonic ID emission feature with the transmitters. The system uses the existing Local Area Network of the building, therefore it is cost effective. To demonstrate the effectiveness of this positioning system, a prototype is implemented and experiments are conducted using P3-DX mobile robots in various test environments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Borenstein, J., Everett, H.R., Feng, L., Lee, S.W., Byrne, R.H.: Where am I? Sensors and Methods for Mobile Robot Positioning. University of Michigan (1996)

  2. Yazıcı, A., Parlaktuna, O.: Mobile robot localization using laser range finder and artificial landmark. In: Proceedings of IKECCO’2005, pp. 129–133 (2005)

  3. Rencken, W.D.: Concurrent localization and map building for mobile robots using ultrasonic sensors. In: Proceedings of the 1993 IEEE/RSJ International Conference on Intelligent Robotics and Systems, pp. 2192–2197. Yokohama (1993)

  4. Barnes, J., Cranenbroeck, J.V., Rizos, C., Pahwa, A., Politi, N.: Long term performance analysis of a new ground-transceiver positioning network (LocataNet) for structural deformation. In: FIG Working Week 2007. Hong Kong SAR (2007)

  5. Q-Track: www.q-track.com. Accessed 18 Dec 2012 (2012)

  6. Priyantha, N.B.: The Cricket Indoor Location System. Doctoral thesis, Massachusetts Institute of Technology (2005)

  7. Harter, A., Hopper, A.: A new location technique for the active office. IEEE Pers. Commun., 43–47 (1997)

  8. Fukuju, Y., Minami, M., Morikawa, H., Aoyama, T.: DOLPHIN: An autonomous indoor positioning system in ubiquitous computing environment. IEEE Workshop Softw. Technol. Future Embed. Syst., 53–56 (2003)

  9. Park, J., Choi, M., Zu, Y., Lee, J.: Indoor localization system in a multi-block workspace. Robotica 28, 397–403 (2010)

    Article  Google Scholar 

  10. Hexamite: www.hexamite.com. Accessed 18 Dec 2012 (2012)

  11. McCarthy, M.R., Muller, H.L.: RF free ultrasonic positioning. Seventh IEEE Int. Symp. Wearable Comput., 79–85 (2003)

  12. Yazıcı, A., Yayan, U., Yücel, H.: An ultrasonic based indoor positioning system. In: International Symposium on Innovations in Intelligent Systems and Applications, pp. 585–589. İstanbul Turkey (2011)

  13. Liu, H., Darabi, H., Banerjee, P., Liu, J.: Survey of wireless indoor positioning techniques and systems. IEEE Trans. Syst. Man. Cybern. Part C: Appl. Rev. 37, 1067–1080 (2007)

    Article  Google Scholar 

  14. Ho, K.C., Lu, X., Kovavisaruch, L.: Source localization using TDOA and FDOA measurements in the presence of receiver location errors analysis and solution. IEEE Trans. Signal Process. 55(2), 684–696 (2007)

    Article  MathSciNet  Google Scholar 

  15. Woodacre, B.: TDOA positioning algorithms: Evaluation and implementation. September 23, Presentation at TATRC (http://www.tatrc.org) (2003)

  16. Ho, K.C., Chan, Y.T.: Solution and performance analysis of Geolocation by TDOA. IEEE Trans. Aerosp. Electron. Syst. 29(4), 1311–1322 (1993)

    Article  Google Scholar 

  17. Cheung, K.W., So, H.C., Ma, W.K., Chan, Y.T.: A constrained least squares approach to mobile positioning: Algorithms and optimality. Hindawi Publishing Corporation EURASIP. J. Appl. Signal Process. 20858, 1–23 (2006)

    Article  Google Scholar 

  18. Cheung, K.W., So, H.C., Ma, W.K., Chan, Y.T.: Least squares algorithms for time-of-arrival-based mobile location. IEEE Trans. Signal Process. 52(4), 1121–1130 (2004)

    Article  MathSciNet  Google Scholar 

  19. Dutt, V.B.S.S.I., Rao, G.S.B., Rani, S.S., Babu, S.R., Goswami, R., Kumari, C.U.: Investigation of GDOP for precise user position computation with all satellites in view and optimum four satellite configurations. J. Ind. Geophys. Union 13(3), 139–148 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ahmet Yazıcı.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yayan, U., Yucel, H. & Yazıcı, A. A Low Cost Ultrasonic Based Positioning System for the Indoor Navigation of Mobile Robots. J Intell Robot Syst 78, 541–552 (2015). https://doi.org/10.1007/s10846-014-0060-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10846-014-0060-7

Keywords

Navigation